PlaidAll DepartmentsRemote

Fraud Solutions Consultant

New York City OfficeFull-timeSenior$181,200 – $265,800
Posted Apr 28, 2026Deadline: Keep Open
Job SnapshotActively hiring
LocationNew York City Office
Job typeFull-time
Salary$181,200 – $265,800
DeadlineKeep Open

Finjobsly Role Intelligence

Experience level
Senior
Work style
Remote
Visa sponsorship
Not specified
Salary
$181,200 – $265,800
Key skills
FraudData Science

Get AI match insights

See your fit score & personalized tips.

Sign In Now

Before you apply

Company insights

64

Happiness score

64/100

Based on 10 verified employee signals

Plaid launches Trust Index 3 for enhanced fraud detection

Plaid launched Ti3, the latest model powering Plaid Protect. It uses a larger fraud graph and deeper real-time analysis; early tests found up to 41% more fraud detected at the same false-positive rate.

mid-2026From the webPlaid

Plaid reports over $500 million in ARR and full-year profitability

Plaid said it ended Q4 2025 with well over $500 million in annual recurring revenue, up about 40% year over year, and was profitable for the full year. New products generated 21% of revenue.

2025From the webPlaid

Employee share sale values Plaid at $8 billion

Plaid allowed employees to sell shares at an $8 billion valuation, 31% above the $6.1 billion valuation attached to its April 2025 financing.

early 2026From the webTechCrunch

Plaid raises $575 million at a $6.1 billion valuation

Plaid sold about $575 million of common stock in an oversubscribed financing led by Franklin Templeton, with Fidelity, BlackRock, NEA and Ribbit Capital participating.

2025From the webTechCrunch

AI Generated Insights

Finjobsly Intelligence— Generated from the employer's job description

What you'll own

Own the end‑to‑end retro‑as‑a‑service and proof‑of‑concept process, partner with customers to demonstrate ROI of Plaid Protect, and turn retro results into production usage while feeding customer insights back to product.

What they're looking for

5–10 years in a customer‑facing analytical role within fintech or financial services, proven experience managing consultative engagements, strong ability to interpret and explain ML model outputs, and a track record of working closely with data‑science teams. Bonus: background in data science/ML engineering or fraud/identity risk.

Why this role matters

The role drives adoption of Plaid’s fraud‑prevention tools, helping clients detect and stop fraud, shaping the Protect product roadmap, and advancing Plaid’s mission to unlock financial freedom for everyone.

Best suited to

A seasoned consultant‑analyst who enjoys bridging technical data‑science insights with business decisions, thrives on customer interaction, and has a solid fintech or risk‑management foundation.

Fintech requirements

Visa sponsorship: No
Work arrangement: remote

About this role

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam.

Our Fraud team's mission is to help companies detect and prevent fraud using financial network data. We believe that transaction patterns, device signals, and behavioral data are an underleveraged tool in fraud prevention.

The Fraud Consulting Lead is responsible for building and maturing our retro-as-a-service and POC program and driving adoption of our fraud products. The role sits between our data team and the customer (i.e., the role will not build the models, but will need to understand the output well enough to clearly and compellingly present the business case and work with technical stakeholders and customers.)

What you'll do

  • Own the retro and POC process end-to-end and collaborate with customers and internal stakeholders at Plaid
  • Partner closely with customers to help them understand the ROI of Protect and make recommendations for implementing our fraud products
  • Drive post-retro follow-through to convert retro results into production usage
  • Serve as a feedback loop between customers and product to drive our Protect roadmap

What they're looking for

  • 5-10 years of experience in a customer-facing analytical role in fintech, financial services, or a related domain (e.g., software/tech)
  • Experience working closely with data science teams
  • Experience managing consultative customer engagements where you owned the deliverable and the relationship
  • Comfort interpreting ML model output (e.g., precision/recall, score distributions) and explaining it to a non-technical audience
  • [Nice to have] Background in data science or ML engineering, particularly on a fraud or risk team
  • [Nice to have] Experience in fraud, identity, or risk — either from a fraud prevention vendor, a fraud team at a bank or fintech, or consulting on risk engagements

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!

Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.

Please review our Candidate Privacy Notice here.

Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

More about this role

About company

Required skills

FraudData Science